A New Optimal Automation Strategy with Profit-based Optimization Model

Modern day utilities extensively employ Distribution Automation (DA) during the planning phase of distribution networks. DA offers some of the major benefits such as superior reliability and remote accessibility of the network devices, thus speeding up automatic fault management process. However, the implementation of DA casts economic challenges. It incurs a huge investment which proves to be a major hindrance to its realization. To tackle it, this paper put forth a unique optimization model which aims to maximize the profit of distribution companies. The model proposed in this literature is formulated on cost-worth analysis approach. The strategy of the presented model is simultaneous and optimal placement of automation protective devices, particularly remote-controlled switches RCS, faulted circuit-indicators FCI, and reclosers R, at optimal locations of radial-distribution structures. The suggested model is examined on a practical medium voltage distribution network located in Iran. Genetic Algorithm (GA) is utilized to evaluate the proposed non-linear discrete optimization model. The test results substantiate the feasibility and applicability of the proposed model.